Privacy-Preserving Techniques in Artificial Intelligence Applications for Industrial IOT Driven Digital Transformation

Abstract

The advent of Industry 4.0 has brought about a revolution in the Industrial Internet of Things (IIoT) driving digital transformation, which now includes data analytics, cloud computing, artificial intelligence, and mobile connectivity. This paper delves into the effectiveness of existing privacy protection measures, as well as the challenges and opportunities presented by emerging technologies such as unified encryption and machine learning. Additionally, the paper provides insights into the processes required for industry-specific compliance with relevant laws and regulations. The findings emphasize the crucial role privacy plays in AI applications for IIoT systems and shed light on the strategies, obstacles, and prospects that organizations must navigate in this rapidly evolving landscape.